Interactive augmented reality system

ABSTRACT

Example embodiments described herein relate to an augmented-reality system to generate and cause display of interactive augmented reality content at a client device.

PRIORITY

This application is a continuation of U.S. patent application Ser. No.17/876,941, filed Dec. 10, 2022, which application is a continuation ofU.S. patent application Ser. No. 17/373,035, filed on Jul. 12, 2021, nowissued as U.S. Pat. No. 11,481,932, which is a continuation of U.S.patent application Ser. No. 16/566,379, filed on Sep. 10, 2019, nowissued as U.S. Pat. No. 11,107,255, which claims the benefit of priorityof U.S. Provisional Application Ser. No. 62/799,667, filed on Jan. 31,2019, each of which are hereby incorporated by reference herein in theirentireties.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to mobilecomputing technology and, more particularly, but not by way oflimitation, to systems for generating and displaying interactiveaugmented reality content at a client device.

BACKGROUND

Augmented reality (AR), is a live direct or indirect view of a physical,real-world environment whose elements are augmented bycomputer-generated sensory inputs.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

To easily identify the discussion of any particular element or act, themost significant digit or digits in a reference number refer to thefigure number in which that element is first introduced.

FIG. 1 is a block diagram showing an example messaging system forexchanging data (e.g., messages and associated content) over a networkin accordance with some embodiments, wherein the messaging systemincludes a contextual filter system.

FIG. 2 is block diagram illustrating further details regarding amessaging system, according to example embodiments.

FIG. 3 is a block diagram illustrating various modules of a contextualfilter system, according to certain example embodiments.

FIG. 4 is a flowchart depicting a method of causing display ofinteractive AR content at a client device, according to certain exampleembodiments.

FIG. 5 is a flowchart depicting a method of causing display ofinteractive AR content at a client device, according to certain exampleembodiments.

FIG. 6 is a flowchart depicting a method of causing display ofinteractive AR content at a client device, according to certain exampleembodiments.

FIG. 7 is an interface flow-diagram depicting interactive AR content,according to certain example embodiments.

FIG. 8 is an interface flow-diagram depicting interactive AR content,according to certain example embodiments.

FIG. 9 is an interface diagram depicting interactive AR content,according to certain example embodiments.

FIG. 10 is a block diagram illustrating a representative softwarearchitecture, which may be used in conjunction with various hardwarearchitectures herein described and used to implement variousembodiments.

FIG. 11 is a block diagram illustrating components of a machine,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.

DETAILED DESCRIPTION

As discussed above, AR systems provide users within graphical userinterfaces (GUI) to display a live direct or indirect view of aphysical, real-world environment, wherein elements of the view areaugmented by computer-generated sensory inputs. For example, an ARinterface may present media content at positions within a display of aview of a real-world environment, such that the media content appears tointeract with elements in the real-world environment.

Example embodiments described herein relate to an AR system to generateand cause display of interactive AR content at a client device.According to certain embodiments, the AR system is configured to performoperations that include: causing display of a presentation of anenvironment within a graphical user interface at a client device,wherein the presentation of the environment includes a display of anobject at a position within the environment; identifying the objectresponsive to the causing display of the presentation of the environmentthat includes the display of the object; accessing a texture map and amesh-model associated with the object; generating interactive contentbased on the texture map and the mesh-model associated with the object;causing display of the interactive content within the presentation ofthe environment, based on the position of the display of the objectwithin the presentation of the environment; receiving an interactioninput from the client device; and presenting a visualization of theinteraction input within the presentation of the environment, thevisualization of the interaction based on at least the interactivecontent.

The interactive AR content may enable a user to interactively extend andbend one or more buildings or other real-world objects in real-timethrough an AR presentation of an environment displayed at a clientdevice. According to certain embodiments, the interactive AR systemmaintains a repository of mesh-models mapped or otherwise linked toreal-world object, for example based on locations of the objects (e.g.,geolocation data), or based on visual characteristics of the objects.

In some embodiments, the mesh-models may comprise a “cap mesh,” a “basemesh,” and a repeatable segment located between the cap mesh and thebase mesh. To generate and cause display of the AR content, theinteractive AR system presents the base mesh at a position within thepresentation of the environment based on the position of the real-worldobject in the presentation of the environment, and then tile therepeatable segment along an extended, possibly non-straight spine ofvariable length and curvature (based on user input), and then render thecap mesh on the end of the spine, aligned to the end spine direction.

In some embodiments, the selection of the segment of the originalmesh-model to cut and tile may be based on manual user input, or in someembodiments, may be based on one or more automated segment selectionmethods. For example, in some embodiments, the interactive AR systemgenerates a semantic texture map with a class based on attributes of theobject. The interactive AR system may then use the semantic texture mapto find other similar attributes of the object, based on the class ofthe texture map that are contiguous in the horizontal, and in someembodiments vertical, plane in the object space. The best of such rowsis selected and segmented from the display of the object.

Once a segment of the original mesh-model is selected, the segment maybe tiled along the extended spine, based on the curvature and length ofthe extended spine. In some embodiments, where the cap mesh and the basemesh are similar, both geometrically and visually, the interactive ARsystem simply stacks the repeatable segment directly on top of oneanother to fill the space between the cap mesh and the base mesh, alongthe spine. In further embodiments, where the cap mesh and the base meshare not similar, either geometrically or visually, the repeatablesegments may be tiled along the spine such that every other repeatablesegment is mirrors vertically (or in some embodiments horizontally) sothat the top of the segment always connects to the original top(flipped) of the next segment, and the bottom always connects to theoriginal bottom of the preceding segment.

In some embodiments, the representation of the spine may include apolyline that consists of N points and N−1 line segments connecting thepoints together. The interactive AR system may compute an orthogonalframe (tangent, normal, and bi-tangent) for each point on the polylinethat smoothly varies from the start of the polyline to the end of thepolyline. In such embodiments, the first point of the spine may beexactly at the end of the base mesh and the coordinate frame is set tothe identity such that the first tiled segment attaches perfectly to thebase mesh, and the last point of the spine is the beginning of the capmesh.

Accordingly, a user may interactively extend the spine by moving the endpoint further away from the penultimate point and adding new points tothe end when the final segment length becomes too long to maintain evensampling. The user may also interactively retract the spine by movingthe end point closer to the penultimate point and remove points from theend when they merge with the penultimate point. In some embodiments, theinteractive AR system may restrict the curvature of the extension orretraction based on attributes of the presentation of the environment,including relative positions of objects within the presentation of theenvironment, a perspective of a user to the objects within thepresentation of the environment, as well as a display area of the GUI inwhich the presentation of the environment is presented. The user mayalso interactively bend the entire spine by dragging any point on thespine. In such embodiments, the interactive AR system may run animplicit constraint based physical simulation on the spine to animate itin response to the interaction inputs received from the client device,and to keep the spine evenly sampled and to remove regions of too highcurvature.

In some embodiments, the interactive AR system may also extend or bendthe spine programmatically without any direct user interaction toautomatically animate the extended object. To render the extendedobject, the interactive AR system calculates a cubic spline thatsmoothly interpolates the points on the polyline, and then computes howmany repeatable segments are needed to completely cover the spinebetween the base mesh and the cap mesh.

In some example embodiments, the identification of the object may bebased on one or more identification factors that include locationinformation, visual information, as well as user inputs. In certainembodiments, the AR system may retrieve location data from a clientdevice and identify one or more object proximate to the client devicebased on the location data. For example, the AR system may access a datarepository that comprises a plurality of object locations, wherein agiven object may be referenced or identified based on its correspondinglocation in the data repository (e.g., geo-location coordinates). Infurther embodiments, the identification may be based on visualinformation, such as image recognition, or based on a codes imageassociated with the object, such as a Quick Response Code (QR code), orbarcode.

Responsive to identifying one or more objects depicted in thepresentation of the environment, the AR system accesses texture maps andmesh-models associated with the one or more objects. In someembodiments, accessing the texture maps and mesh-models associated withthe one or more objects may include accessing contextual data associatedwith the client devices, and accessing texture maps and mesh-modelsassociated with the one or more object and the contextual data. Forexample, the contextual data may include user profile data, locationdata, as well as temporal data.

As an illustrative example, the AR system may retrieve a differentmesh-models and texture maps associated with the one or more objects,depending upon the context of the client device. Accordingly, adifferent mesh-model and texture map may be selected based on temporalinformation (e.g., day or night, time of day, time of year), userprofile data, such as user preferences and user demographicsinformation, as well as a number of client devices in proximity with theclient device.

In some embodiments, the AR system may perform operations that includereceiving an interaction input from the client device and presenting avisualization of the interaction input within the presentation of theenvironment at the client device. For example, the interaction input mayinclude an input that transforms or alters the display of the objectwithin the presentation of the space, by stretch or deforming a shapeand size of the object.

In further embodiments, the interaction input may include a trajectoryto be applied to a projectile element to be presented within thepresentation of the space. For example, a user of the client device mayprovide a tactile input that indicates a starting point, a direction,and magnitude to be applied to the projectile. Responsive to thereceiving the input, the AR system causes display of the projectileelement within the presentation of the space based on the trajectory,such that the projectile element may start at the starting point definedby the input, and travel through the presentation of the environment toa termination point, wherein the termination point is based on thetrajectory.

In some embodiments, responsive to determining that the terminationpoint of the projectile element coincides with a portion of theinteractive content, the AR system may cause display of a notificationat one or more client devices.

As an illustrative example from a user perspective, the interactivecontent may include an animated depiction of the object that includes atarget element, and the interaction input may enable a user to launchprojectile elements at the animated depiction of the object, wherein theprojectile elements may include one or more graphical properties basedon contextual data (e.g., user profile data, temporal data, locationdata). Responsive to determining that a projectile element launched by auser hits the target element of the animated depiction of the object,the AR system may present a notification, such as a display of a score,or an alert.

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes one or more client device 102 whichhost a number of applications including a messaging client application104. Each messaging client application 104 is communicatively coupled toother instances of the messaging client application 104 and a messagingserver system 108 via a network 106 (e.g., the Internet).

Accordingly, each messaging client application 104 is able tocommunicate and exchange data with another messaging client application104 and with the messaging server system 108 via the network 106. Thedata exchanged between messaging client applications 104, and between amessaging client application 104 and the messaging server system 108,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality viathe network 106 to a particular messaging client application 104. Whilecertain functions of the messaging system 100 are described herein asbeing performed by either a messaging client application 104 or by themessaging server system 108, it will be appreciated that the location ofcertain functionality either within the messaging client application 104or the messaging server system 108 is a design choice. For example, itmay be technically preferable to initially deploy certain technology andfunctionality within the messaging server system 108, but to latermigrate this technology and functionality to the messaging clientapplication 104 where a client device 102 has a sufficient processingcapacity.

The messaging server system 108 supports various services and operationsthat are provided to the messaging client application 104. Suchoperations include transmitting data to, receiving data from, andprocessing data generated by the messaging client application 104. Insome embodiments, this data includes, message content, client deviceinformation, geolocation information, media annotation and overlays,message content persistence conditions, social network information, andlive event information, as examples. In other embodiments, other data isused. Data exchanges within the messaging system 100 are invoked andcontrolled through functions available via GUIs of the messaging clientapplication 104.

Turning now specifically to the messaging server system 108, anApplication Program Interface (API) server 110 is coupled to, andprovides a programmatic interface to, an application server 112. Theapplication server 112 is communicatively coupled to a database server118, which facilitates access to a database 120 in which is stored dataassociated with messages processed by the application server 112.

Dealing specifically with the Application Program Interface (API) server110, this server receives and transmits message data (e.g., commands andmessage payloads) between the client device 102 and the applicationserver 112. Specifically, the Application Program Interface (API) server110 provides a set of interfaces (e.g., routines and protocols) that canbe called or queried by the messaging client application 104 in order toinvoke functionality of the application server 112. The ApplicationProgram Interface (API) server 110 exposes various functions supportedby the application server 112, including account registration, loginfunctionality, the sending of messages, via the application server 112,from a particular messaging client application 104 to another messagingclient application 104, the sending of media files (e.g., images orvideo) from a messaging client application 104 to the messaging serverapplication 114, and for possible access by another messaging clientapplication 104, the setting of a collection of media data (e.g.,story), the retrieval of a list of friends of a user of a client device102, the retrieval of such collections, the retrieval of messages andcontent, the adding and deletion of friends to a social graph, thelocation of friends within a social graph, opening and application event(e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications andsubsystems, including a messaging server application 114, an imageprocessing system 116, a social network system 122, and an augmentedreality system 124. The augmented reality system 124 is configured togenerate and cause display of interactive AR content at the clientdevice 102. Further details of the augmented reality system 124 can befound in FIG. 3 below.

The messaging server application 114 implements a number of messageprocessing technologies and functions, particularly related to theaggregation and other processing of content (e.g., textual andmultimedia content) included in messages received from multipleinstances of the messaging client application 104. As will be describedin further detail, the text and media content from multiple sources maybe aggregated into collections of content (e.g., called stories orgalleries). These collections are then made available, by the messagingserver application 114, to the messaging client application 104. Otherprocessor and memory intensive processing of data may also be performedserver-side by the messaging server application 114, in view of thehardware requirements for such processing.

The application server 112 also includes an image processing system 116that is dedicated to performing various image processing operations,typically with respect to images or video received within the payload ofa message at the messaging server application 114.

The social network system 122 supports various social networkingfunctions services, and makes these functions and services available tothe messaging server application 114. To this end, the social networksystem 122 maintains and accesses an entity graph 304 within thedatabase 120. Examples of functions and services supported by the socialnetwork system 122 include the identification of other users of themessaging system 100 with which a particular user has relationships oris “following,” and also the identification of other entities andinterests of a particular user.

The application server 112 is communicatively coupled to a databaseserver 118, which facilitates access to a database 120 in which isstored data associated with messages processed by the messaging serverapplication 114.

FIG. 2 is block diagram illustrating further details regarding themessaging system 100, according to example embodiments. Specifically,the messaging system 100 is shown to comprise the messaging clientapplication 104 and the application server 112, which in turn embody anumber of some subsystems, namely an ephemeral timer system 202, acollection management system 204 and an annotation system 206.

The ephemeral timer system 202 is responsible for enforcing thetemporary access to content permitted by the messaging clientapplication 104 and the messaging server application 114. To this end,the ephemeral timer system 202 incorporates a number of timers that,based on duration and display parameters associated with a message,collection of messages (e.g., a SNAPCHAT story), or graphical element,selectively display and enable access to messages and associated contentvia the messaging client application 104. Further details regarding theoperation of the ephemeral timer system 202 are provided below.

The collection management system 204 is responsible for managingcollections of media (e.g., collections of text, image video and audiodata). In some examples, a collection of content (e.g., messages,including images, video, text and audio) may be organized into an “eventgallery” or an “event story.” Such a collection may be made availablefor a specified time period, such as the duration of an event to whichthe content relates. For example, content relating to a music concertmay be made available as a “story” for the duration of that musicconcert. The collection management system 204 may also be responsiblefor publishing an icon that provides notification of the existence of aparticular collection to the user interface of the messaging clientapplication 104.

The collection management system 204 furthermore includes a curationinterface 208 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface208 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certainembodiments, compensation may be paid to a user for inclusion of usergenerated content into a collection. In such cases, the curationinterface 208 operates to automatically make payments to such users forthe use of their content.

The annotation system 206 provides various functions that enable a userto annotate or otherwise modify or edit media content associated with amessage. For example, the annotation system 206 provides functionsrelated to the generation and publishing of media overlays for messagesprocessed by the messaging system 100. The annotation system 206operatively supplies a media overlay (e.g., a SNAPCHAT filter) to themessaging client application 104 based on a geolocation of the clientdevice 102. In another example, the annotation system 206 operativelysupplies a media overlay to the messaging client application 104 basedon other information, such as, social network information of the user ofthe client device 102. A media overlay may include audio and visualcontent and visual effects. Examples of audio and visual content includepictures, texts, logos, animations, and sound effects, as well asanimated facial models, such as those generated by the augmented realitysystem 124. An example of a visual effect includes color overlaying. Theaudio and visual content or the visual effects can be applied to a mediacontent item (e.g., a photo) at the client device 102. For example, themedia overlay including text that can be overlaid on top of a photographgenerated taken by the client device 102. In another example, the mediaoverlay includes an identification of a location overlay (e.g., Venicebeach), a name of a live event, or a name of a merchant overlay (e.g.,Beach Coffee House). In another example, the annotation system 206 usesthe geolocation of the client device 102 to identify a media overlaythat includes the name of a merchant at the geolocation of the clientdevice 102. The media overlay may include other indicia associated withthe merchant. The media overlays may be stored in the database 120 andaccessed through the database server 118.

In one example embodiment, the annotation system 206 provides auser-based publication platform that enables users to select ageolocation on a map, and upload content associated with the selectedgeolocation. The user may also specify circumstances under which aparticular media overlay should be offered to other users. Theannotation system 206 generates a media overlay that includes theuploaded content and associates the uploaded content with the selectedgeolocation.

In another example embodiment, the annotation system 206 provides amerchant-based publication platform that enables merchants to select aparticular media overlay associated with a geolocation via a biddingprocess. For example, the annotation system 206 associates the mediaoverlay of a highest bidding merchant with a corresponding geolocationfor a predefined amount of time

FIG. 3 is a block diagram illustrating components of the augmentedreality system 124 that configure the augmented reality system 124 toperform operations to generate and cause display of interactive ARcontent at a client device 102, according to some example embodiments,and as depicted in FIGS. 7, 8, 9, and 10 .

The augmented reality system 124 is shown as including a presentationmodule 302, a media module 304, an augmented-reality (AR) module 306,and an identification module 308, all configured to communicate witheach other (e.g., via a bus, shared memory, or a switch). Any one ormore of these modules may be implemented using one or more processors310 (e.g., by configuring such one or more processors to performfunctions described for that module) and hence may include one or moreof the processors 310.

Any one or more of the modules described may be implemented usinghardware alone (e.g., one or more of the processors 310 of a machine) ora combination of hardware and software. For example, any moduledescribed of the augmented reality system 124 may physically include anarrangement of one or more of the processors 310 (e.g., a subset of oramong the one or more processors of the machine) configured to performthe operations described herein for that module. As another example, anymodule of the augmented reality system 124 may include software,hardware, or both, that configure an arrangement of one or moreprocessors 310 (e.g., among the one or more processors of the machine)to perform the operations described herein for that module. Accordingly,different modules of the augmented reality system 124 may include andconfigure different arrangements of such processors 310 or a singlearrangement of such processors 310 at different points in time.Moreover, any two or more modules of the augmented reality system 124may be combined into a single module, and the functions described hereinfor a single module may be subdivided among multiple modules.Furthermore, according to various example embodiments, modules describedherein as being implemented within a single machine, database, or devicemay be distributed across multiple machines, databases, or devices.

FIG. 4 is a flowchart depicting a method 400 of causing display ofinteractive AR content at a client device 102, according to certainexample embodiments. Operations of the method 400 may be performed bythe modules described above with respect to FIG. 3 . As shown in FIG. 4, the method 400 includes one or more operations 402, 404, 406, 408,410, 412, and 414.

At operation 402, the presentation module 302 generates and causesdisplay of a presentation of an environment within a GUI at a clientdevice 102, wherein the presentation of the environment includes adisplay of one or more objects at positions within the environment. Forexample, the presentation module 302 may access a camera associated withthe client device 102 to generate the presentation of the environment bystreaming image and video data from the camera of the client device 102.

According to certain embodiments, the presentation of the environmentincludes a presentation of a real-world environment.

At operation 404, the identification module 308 identifies one or moreobjects within the presentation of the environment, and the positions ofthe one or more objects within the presentation of the environment, inresponse to the causing display of the presentation of the environmentwithin the GUI at the client device 102. For example, the identificationmodule 308 may perform one or more object recognition techniques,including but not limited to machine learning-based approaches as wellas deep learning-based approaches.

For example, in machine learning approaches, the identification module308 may define features using one or more methods (such as Viola-Jonesobject detection framework based on Haar features, scale-invariantfeature transform (SIFT), and histogram of oriented gradients (HOG)features), then using a technique such as support vector machine (SVM)to identify the one or more objects.

In further embodiments, the identification module 308 may apply deeplearning techniques to do end-to-end object detection withoutspecifically defining features through a convolutional neural networks(CNN).

In some example embodiments, the identification module 308 may identifythe one or more objects may be based on one or more identificationfactors that include location information, visual information, as wellas user inputs. For example, the identification module 308 may retrievelocation data from the client device 102 and identify the one or moreobjects proximate to the client device 102 based on the location data ofthe client device 102. For example, the AR system may access a datarepository that comprises a plurality of object locations, wherein agiven object may be referenced or identified based on its correspondinglocation in the data repository (e.g., geo-location coordinates). Infurther embodiments, the identification may be based on visualinformation, such as image recognition, or based on a codes imageassociated with the object, such as a Quick Response Code (QR code), orbarcode.

At operation 406, in response to the identification module 308identifying the one or more objects within the presentation of theenvironment presented within the GUI of the client device 102, the ARmodule 306 accesses texture maps and mesh models associated with the oneor more objects at the positions within the presentation of theenvironment.

According to certain example embodiments, the texture maps may includesemantic texture maps, wherein the AR module 306 may access the semantictexture maps based on a set of semantic features of the one or moreobjects in the presentation of the environment. Semantic features mayfor example include: contextual features that correspond with a physicalobject, location, or surface; analogical features that reference someother known category or class; visual features that define visual orgraphical properties of a surface or object; as well as materialparameters that define properties of a surface or object and which mayinclude a “roughness value,” a “metallic value,” a “specular value,” anda “base color value.”

In some embodiments, the mesh-models accessed by the AR module 306 maycomprise a “cap mesh,” a “base mesh,” and a repeatable segment locatedbetween the cap mesh and the base mesh.

In some embodiments, the AR module 306 may access the texture maps andmesh-models associated with the one or more objects based on contextualdata associated with the client device 102. For example, the contextualdata may include user profile data, location data, as well as temporaldata. As an illustrative example, the AR module 305 may retrieve adifferent mesh-model and texture map associated with the one or moreobjects depending upon the context of the client device. Accordingly, adifferent mesh-model and texture map may be selected based on temporalinformation (e.g., day or night, time of day, time of year), userprofile data such as user preferences and user demographics information,as well as a number of client devices in proximity with the clientdevice 102, and user profile data associated with the client devices inproximity with the client device 102.

In some embodiments, the texture maps and mesh-models may be associatedwith the one or more objects depicted in the presentation of theenvironment based on geo-location information associated with the one ormore objects. For example, according to certain example embodiments, theAR module 306 may access the databases 120, wherein the databases 120includes a listing of one or more objects in a particular location.Accordingly, based on location data retrieved from the client device102, the AR module 306 may access an appropriate listing of objects atthe location, wherein each object among the listing of the objects isassociated with a texture map and mesh-model.

At operation 408, the media module 304 generates interactive content tobe presented within the presentation of the environment at the clientdevice 102 based on the texture map and mesh-model associated with theone or more objects identified in the presentation of the environment.At operation 410, the presentation module 302 causes display of theinteractive content at a position within the presentation of theenvironment based on positions of the one or more objects depicted inthe presentation of the environment, and a location of the client device102 relative to the positions of the one or more objects depicted in thepresentation of the environment.

At operation 412, the AR module 306 receives an interaction input fromthe client device 102. For example, the interaction input may include aninput that selects a portion of the interactive content. According tocertain example embodiments, the interaction input may extend or bendthe interactive content in real-time. In response to the AR module 306receiving the interaction input from the client device 102, at operation414 the AR module 306 presents a visualization of the interaction inputwithin the presentation of the environment based on the interactioninput and the interactive content.

As an illustrative example, the interactive content may comprise adisplay of a media overlay, wherein an appearance of the media overlayis based on attributes of an object from among the one or more objectsdepicted in the presentation of the environment; for example, the mediaoverlay may appear as a lamp post. A user of the client device 102 mayprovide an interaction input that selects the top of the lamp post andmoves it from a starting position to an end position. In response, theAR module 306 present a visualization based on the interaction input, bycausing the lamp post to move (i.e., bend or stretch).

FIG. 5 is a flowchart depicting a method 500 of causing display ofinteractive AR content at a client device 102, according to certainexample embodiments. Operations of the method 500 may be performed bythe modules described above with respect to FIG. 3 . As shown in FIG. 5, the method 400 includes one or more operations 502, 504, 506, and 508.

According to certain example embodiments, the interaction input receivedfrom the client device 102 may cause display of a graphical projectileat a location within the presentation of the environment. For examplethe interaction input may select a location within the presentation ofthe environment, and comprise a directional input that comprises inputattributes (i.e., a direction, a velocity value, a force value).

At operation 504, the AR module 306 calculates a termination point ofthe projectile within the presentation of the environment based on atrajectory of the projectile, wherein the trajectory may be based on theinput attributes of the interaction input.

At operation 506, the AR module 306 determines the termination point ofthe projectile coincides with a portion of the interactive contentpresented within the presentation of the environment.

At operation 508, responsive to determining that the termination pointof the projectile coincides with a portion of the interactive contentpresented within the presentation of the environment, the presentationmodule 302 causes display of a notification at one or more clientdevices, including client device 102. In some embodiments, theidentification module 308 may identify one or more client devices basedon attributes of the interactive content or based on user profile dataassociated with a user of the client device 102 or based on locationdata from the one or more client devices. For example, theidentification module 308 may identify one or more client deviceslocated within a particular geo-fence associated with the interactivecontent.

FIG. 6 is a flowchart depicting a method 600 of causing display ofinteractive AR content at a client device 102, according to certainexample embodiments. Operations of the method 600 may be performed bythe modules described above with respect to FIG. 3 . As shown in FIG. 6, the method 400 includes one or more operations 602, 604, and 606.According to certain example embodiments, the method 600 may beperformed as a subroutine of operations 408 and 414 of the method 400depicted in FIG. 4 .

At operation 602, the AR module 306 causes display of a base mesh withinthe presentation of the environment based on at least a position of anobject within the presentation of the environment.

At operation 604, the AR module 306 causes display of a cap mesh withinthe presentation of the environment based on the interaction inputreceived from the client device 102. For example, the interaction inputmay identify a point within the presentation of the environment.

At operation 606, the AR module 306 applies the texture map to arepeatable segment located between the base mesh and the cap mesh, asdepicted in the interface flow-diagram 700 depicted in FIG. 7 .

FIG. 7 is an interface flow-diagram 700 depicting interactive AR content715, according to certain example embodiments, and as described in themethods 400 and 600. As seen in FIG. 7 , the interactive AR content 715may include a media overlay based on an object (a building) presentedwithin a presentation of an environment.

Accordingly, as seen in the interface 705, a user of a client device 102may provide the interaction input 720, wherein the interaction input 720selects a portion or point on the interactive AR content 715. As seen ininterface 710, the interaction input 720 may stretch the interactive ARcontent 715 based on one or more attributes of the input 720.

FIG. 8 is an interface flow-diagram 800 depicting interactive ARcontent, according to certain example embodiments, and as described inthe methods 400 and 600.

As seen in the interface 805, the interactive AR content 820 may includea media overlay generated based on one or more attributes of an objectdepicted within a presentation of an environment (i.e., a building),wherein the media overlay may also comprise a plurality of graphicalelements 825. For example, as seen in the interface flow-diagram 800,the plurality of graphical elements 825 may include graphical featuresto personify an object identified within a presentation of anenvironment. According to certain example embodiments, the plurality ofgraphical elements 825 may be generated by the media module 304 based oncontextual data that includes user profile data associated with theclient device 102.

As seen in the interfaces 810 and 815, the display of the interactive ARcontent 820 within the presentation of the environment may move (i.e.,stretch, grow, flex, bend) based on inputs received from the clientdevice 102, as well as based on interactions between objects depictedwithin the presentation of the environment at the client device 102.

As an illustrative example for a perspective of a user of the clientdevice 102, responsive to detecting the client device 102 at apredefined location relative to an object, or a threshold distance fromthe object, the AR system 124 may cause the interactive AR content 820to perform a corresponding animation. For example, if the userapproaches the object corresponding to the interactive AR content 820(i.e., the building), the AR system 124 may cause the interactive ARcontent 820 to stretch and bend based on a location of the client device102.

FIG. 9 is an interface diagram 900 depicting interactive AR content 905,according to certain example embodiments, and as discussed in the method500 depicted in FIG. 5 .

Software Architecture

FIG. 10 is a block diagram illustrating an example software architecture1006, which may be used in conjunction with various hardwarearchitectures herein described. FIG. 10 is a non-limiting example of asoftware architecture and it will be appreciated that many otherarchitectures may be implemented to facilitate the functionalitydescribed herein. The software architecture 1006 may execute on hardwaresuch as machine 1100 of FIG. 11 that includes, among other things,processors 1104, memory 1214, and I/O components 1218. A representativehardware layer 1052 is illustrated and can represent, for example, themachine 1100 of FIG. 11 . The representative hardware layer 1052includes a processing unit 1054 having associated executableinstructions 1004. Executable instructions 1004 represent the executableinstructions of the software architecture 1006, including implementationof the methods, components and so forth described herein. The hardwarelayer 1052 also includes memory and/or storage modules memory/storage1056, which also have executable instructions 1004. The hardware layer1052 may also comprise other hardware 1058.

In the example architecture of FIG. 10 , the software architecture 1006may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1006may include layers such as an operating system 1002, libraries 1020,applications 1016 and a presentation layer 1014. Operationally, theapplications 1016 and/or other components within the layers may invokeapplication programming interface (API) API calls 1008 through thesoftware stack and receive a response as in response to the API calls1008. The layers illustrated are representative in nature and not allsoftware architectures have all layers. For example, some mobile orspecial purpose operating systems may not provide aframeworks/middleware 1018, while others may provide such a layer. Othersoftware architectures may include additional or different layers.

The operating system 1002 may manage hardware resources and providecommon services. The operating system 1002 may include, for example, akernel 1022, services 1024 and drivers 1026. The kernel 1022 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1022 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1024 may provideother common services for the other software layers. The drivers 1026are responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1026 include display drivers, cameradrivers, Bluetooth® drivers, flash memory drivers, serial communicationdrivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers,audio drivers, power management drivers, and so forth depending on thehardware configuration.

The libraries 1020 provide a common infrastructure that is used by theapplications 1016 and/or other components and/or layers. The libraries1020 provide functionality that allows other software components toperform tasks in an easier fashion than to interface directly with theunderlying operating system 1002 functionality (e.g., kernel 1022,services 1024 and/or drivers 1026). The libraries 1020 may includesystem libraries 1044 (e.g., C standard library) that may providefunctions such as memory allocation functions, string manipulationfunctions, mathematical functions, and the like. In addition, thelibraries 1020 may include API libraries 1046 such as media libraries(e.g., libraries to support presentation and manipulation of variousmedia format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphicslibraries (e.g., an OpenGL framework that may be used to render 2D and3D in a graphic content on a display), database libraries (e.g., SQLitethat may provide various relational database functions), web libraries(e.g., WebKit that may provide web browsing functionality), and thelike. The libraries 1020 may also include a wide variety of otherlibraries 1048 to provide many other APIs to the applications 1016 andother software components/modules.

The frameworks/middleware 1018 (also sometimes referred to asmiddleware) provide a higher-level common infrastructure that may beused by the applications 1016 and/or other software components/modules.For example, the frameworks/middleware 1018 may provide various graphicuser interface (GUI) functions, high-level resource management,high-level location services, and so forth. The frameworks/middleware1018 may provide a broad spectrum of other APIs that may be utilized bythe applications 1016 and/or other software components/modules, some ofwhich may be specific to a particular operating system 1002 or platform.

The applications 1016 include built-in applications 1038 and/orthird-party applications 1040. Examples of representative built-inapplications 1038 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third-party applications 1040 may include anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform,and may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. Thethird-party applications 1040 may invoke the API calls 1008 provided bythe mobile operating system (such as operating system 1002) tofacilitate functionality described herein.

The applications 1016 may use built in operating system functions (e.g.,kernel 1022, services 1024 and/or drivers 1026), libraries 1020, andframeworks/middleware 1018 to create user interfaces to interact withusers of the system. Alternatively, or additionally, in some systemsinteractions with a user may occur through a presentation layer, such aspresentation layer 1014. In these systems, the application/component“logic” can be separated from the aspects of the application/componentthat interact with a user.

FIG. 11 is a block diagram illustrating components of a machine 1100,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 11 shows a diagrammatic representation of the machine1100 in the example form of a computer system, within which instructions1110 (e.g., software, a program, an application, an applet, an app, orother executable code) for causing the machine 1100 to perform any oneor more of the methodologies discussed herein may be executed. As such,the instructions 1110 may be used to implement modules or componentsdescribed herein. The instructions 1110 transform the general,non-programmed machine 1100 into a particular machine 1100 programmed tocarry out the described and illustrated functions in the mannerdescribed. In alternative embodiments, the machine 1100 operates as astandalone device or may be coupled (e.g., networked) to other machines.In a networked deployment, the machine 1100 may operate in the capacityof a server machine or a client machine in a server-client networkenvironment, or as a peer machine in a peer-to-peer (or distributed)network environment. The machine 1100 may comprise, but not be limitedto, a server computer, a client computer, a personal computer (PC), atablet computer, a laptop computer, a netbook, a set-top box (STB), apersonal digital assistant (PDA), an entertainment media system, acellular telephone, a smart phone, a mobile device, a wearable device(e.g., a smart watch), a smart home device (e.g., a smart appliance),other smart devices, a web appliance, a network router, a networkswitch, a network bridge, or any machine capable of executing theinstructions 1110, sequentially or otherwise, that specify actions to betaken by machine 1100. Further, while only a single machine 1100 isillustrated, the term “machine” shall also be taken to include acollection of machines that individually or jointly execute theinstructions 1110 to perform any one or more of the methodologiesdiscussed herein.

The machine 1100 may include processors 1104, memory memory/storage1106, and I/O components 1118, which may be configured to communicatewith each other such as via a bus 1102. The memory/storage 1106 mayinclude a memory 1114, such as a main memory, or other memory storage,and a storage unit 1116, both accessible to the processors 1104 such asvia the bus 1102. The storage unit 1116 and memory 1114 store theinstructions 1110 embodying any one or more of the methodologies orfunctions described herein. The instructions 1110 may also reside,completely or partially, within the memory 1114, within the storage unit1116, within at least one of the processors 1104 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 1100. Accordingly, the memory 1114, thestorage unit 1116, and the memory of processors 1104 are examples ofmachine-readable media.

The I/O components 1118 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1118 that are included in a particular machine 1100 willdepend on the type of machine. For example, portable machines such asmobile phones will likely include a touch input device or other suchinput mechanisms, while a headless server machine will likely notinclude such a touch input device. It will be appreciated that the I/Ocomponents 1118 may include many other components that are not shown inFIG. 11 . The I/O components 1118 are grouped according to functionalitymerely for simplifying the following discussion and the grouping is inno way limiting. In various example embodiments, the I/O components 1118may include output components 1126 and input components 1128. The outputcomponents 1126 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1128 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1118 may includebiometric components 1130, motion components 1134, environmentalenvironment components 1136, or position components 1138 among a widearray of other components. For example, the biometric components 1130may include components to detect expressions (e.g., hand expressions,facial expressions, vocal expressions, body gestures, or eye tracking),measure biosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1134 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environment components 1136 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometer that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 938 mayinclude location sensor components (e.g., a Global Position system (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1118 may include communication components 1140operable to couple the machine 1100 to a network 1132 or devices 1120via coupling 1122 and coupling 1124 respectively. For example, thecommunication components 1140 may include a network interface componentor other suitable device to interface with the network 1132. In furtherexamples, communication components 1140 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1120 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, the communication components 1140 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1140 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1140, such as, location via Internet Protocol (IP) geo-location,location via Wi-Fi® signal triangulation, location via detecting a NFCbeacon signal that may indicate a particular location, and so forth.

Glossary

“CARRIER SIGNAL” in this context refers to any intangible medium that iscapable of storing, encoding, or carrying instructions for execution bythe machine, and includes digital or analog communications signals orother intangible medium to facilitate communication of suchinstructions. Instructions may be transmitted or received over thenetwork using a transmission medium via a network interface device andusing any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces toa communications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smart phones, tablets, ultra books, netbooks,laptops, multi-processor systems, microprocessor-based or programmableconsumer electronics, game consoles, set-top boxes, or any othercommunication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portionsof a network that may be an ad hoc network, an intranet, an extranet, avirtual private network (VPN), a local area network (LAN), a wirelessLAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), ametropolitan area network (MAN), the Internet, a portion of theInternet, a portion of the Public Switched Telephone Network (PSTN), aplain old telephone service (POTS) network, a cellular telephonenetwork, a wireless network, a Wi-Fi® network, another type of network,or a combination of two or more such networks. For example, a network ora portion of a network may include a wireless or cellular network andthe coupling may be a Code Division Multiple Access (CDMA) connection, aGlobal System for Mobile communications (GSM) connection, or other typeof cellular or wireless coupling. In this example, the coupling mayimplement any of a variety of types of data transfer technology, such asSingle Carrier Radio Transmission Technology (1×RTT), Evolution-DataOptimized (EVDO) technology, General Packet Radio Service (GPRS)technology, Enhanced Data rates for GSM Evolution (EDGE) technology,third Generation Partnership Project (3GPP) including 3G, fourthgeneration wireless (4G) networks, Universal Mobile TelecommunicationsSystem (UMTS), High Speed Packet Access (HSPA), WorldwideInteroperability for Microwave Access (WiMAX), Long Term Evolution (LTE)standard, others defined by various standard setting organizations,other long range protocols, or other data transfer technology.

“EMPHEMERAL MESSAGE” in this context refers to a message that isaccessible for a time-limited duration. An ephemeral message may be atext, an image, a video and the like. The access time for the ephemeralmessage may be set by the message sender. Alternatively, the access timemay be a default setting or a setting specified by the recipient.Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, deviceor other tangible media able to store instructions and data temporarilyor permanently and may include, but is not be limited to, random-accessmemory (RAM), read-only memory (ROM), buffer memory, flash memory,optical media, magnetic media, cache memory, other types of storage(e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or anysuitable combination thereof. The term “machine-readable medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database, or associated caches and servers)able to store instructions. The term “machine-readable medium” shallalso be taken to include any medium, or combination of multiple media,that is capable of storing instructions (e.g., code) for execution by amachine, such that the instructions, when executed by one or moreprocessors of the machine, cause the machine to perform any one or moreof the methodologies described herein. Accordingly, a “machine-readablemedium” refers to a single storage apparatus or device, as well as“cloud-based” storage systems or storage networks that include multiplestorage apparatus or devices. The term “machine-readable medium”excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity or logichaving boundaries defined by function or subroutine calls, branchpoints, application program interfaces (APIs), or other technologiesthat provide for the partitioning or modularization of particularprocessing or control functions. Components may be combined via theirinterfaces with other components to carry out a machine process. Acomponent may be a packaged functional hardware unit designed for usewith other components and a part of a program that usually performs aparticular function of related functions. Components may constituteeither software components (e.g., code embodied on a machine-readablemedium) or hardware components. A “hardware component” is a tangibleunit capable of performing certain operations and may be configured orarranged in a certain physical manner. In various example embodiments,one or more computer systems (e.g., a standalone computer system, aclient computer system, or a server computer system) or one or morehardware components of a computer system (e.g., a processor or a groupof processors) may be configured by software (e.g., an application orapplication portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a Field-Programmable Gate Array (FPGA) or an ApplicationSpecific Integrated Circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software) may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component” (or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering embodiments in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In embodiments in which multiple hardwarecomponents are configured or instantiated at different times,communications between such hardware components may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware components have access. Forexample, one hardware component may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware component may then, at alater time, access the memory device to retrieve and process the storedoutput. Hardware components may also initiate communications with inputor output devices, and can operate on a resource (e.g., a collection ofinformation). The various operations of example methods described hereinmay be performed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)). The performance of certain of the operations may bedistributed among the processors, not only residing within a singlemachine, but deployed across a number of machines. In some exampleembodiments, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In other exampleembodiments, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (aphysical circuit emulated by logic executing on an actual processor)that manipulates data values according to control signals (e.g.,“commands”, “op codes”, “machine code”, etc.) and which producescorresponding output signals that are applied to operate a machine. Aprocessor may, for example, be a Central Processing Unit (CPU), aReduced Instruction Set Computing (RISC) processor, a ComplexInstruction Set Computing (CISC) processor, a Graphics Processing Unit(GPU), a Digital Signal Processor (DSP), an Application SpecificIntegrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC)or any combination thereof. A processor may further be a multi-coreprocessor having two or more independent processors (sometimes referredto as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters orencoded information identifying when a certain event occurred, forexample giving date and time of day, sometimes accurate to a smallfraction of a second.

“LIFT” in this context is a measure of the performance of a targetedmodel at predicting or classifying cases as having an enhanced response(with respect to a population as a whole), measured against a randomchoice targeting model.

“PHONEME ALIGNMENT” in this context, a phoneme is a unit of speech thatdifferentiates one word from another. One phoneme may consist of asequence of closure, burst, and aspiration events; or, a dipthong maytransition from a back vowel to a front vowel. A speech signal maytherefore be described not only by what phonemes it contains, but alsothe locations of the phonemes. Phoneme alignment may therefore bedescribed as a “time-alignment” of phonemes in a waveform, in order todetermine an appropriate sequence and location of each phoneme in aspeech signal.

“AUDIO-TO-VISUAL CONVERSION” in this context refers to the conversion ofaudible speech signals into visible speech, wherein the visible speechmay include a mouth shape representative of the audible speech signal.

“TIME DELAYED NEURAL NETWORK (TDNN)” in this context, a TDNN is anartificial neural network architecture whose primary purpose is to workon sequential data. An example would be converting continuous audio intoa stream of classified phoneme labels for speech recognition.

“BI-DIRECTIONAL LONG-SHORT TERM MEMORY (BLSTM)” in this context refersto a recurrent neural network (RNN) architecture that remembers valuesover arbitrary intervals. Stored values are not modified as learningproceeds. RNNs allow forward and backward connections between neurons.BLSTM are well-suited for the classification, processing, and predictionof time series, given time lags of unknown size and duration betweenevents.

What is claimed is:
 1. A method comprising: causing display of imagedata at a client device, the image data including a display of anobject, the display of the object comprising one or more semanticfeatures; detecting the display of the object within the image data;accessing a texture map from among a plurality of texture maps based onthe one or more semantic features of the display of the object; andcausing display of Augmented-Reality (AR) content within the image databased on the texture map and the one or more semantic features.
 2. Themethod of claim 1, wherein the accessing the texture map from among theplurality of texture maps further comprises: determining a location ofthe client device; and accessing the texture map based on the one ormore semantic features and the location of the client device.
 3. Themethod of claim 1, wherein the detecting the display of the objectincludes: accessing location data at the client device; and detectingthe display of the object based on the location data and the one or moresemantic features.
 4. The method of claim 1, wherein the accessing thetexture map from among the plurality of texture maps further comprises:accessing contextual data at the client device; and accessing thetexture map based on the one or more semantic features and thecontextual data.
 5. The method of claim 4, wherein the contextual dataincludes temporal data.
 6. The method of claim 4, wherein the contextualdata includes user profile data.
 7. The method of claim 1, furthercomprising: receiving an input that comprises an input attribute; anddisplaying the AR content based on the input attribute of the input. 8.A non-transitory machine-readable storage medium comprising instructionsthat, when executed by one or more processors of a machine, cause themachine to perform operations comprising: causing display of image dataat a client device, the image data including a display of an object, thedisplay of the object comprising one or more semantic features;detecting the display of the object within the image data; accessing atexture map from among a plurality of texture maps based on the one ormore semantic features of the display of the object; and causing displayof Augmented-Reality (AR) content within the image data based on thetexture map and the one or more semantic features.
 9. The non-transitorymachine-readable storage medium of claim 8, wherein the accessing thetexture map from among the plurality of texture maps further comprises:determining a location of the client device; and accessing the texturemap based on the one or more semantic features and the location of theclient device.
 10. The non-transitory machine-readable storage medium ofclaim 8, wherein the detecting the display of the object includes:accessing location data at the client device; and detecting the displayof the object based on the location data and the one or more semanticfeatures.
 11. The non-transitory machine-readable storage medium ofclaim 8, wherein the accessing the texture map from among the pluralityof texture maps further comprises: accessing contextual data at theclient device; and accessing the texture map based on the one or moresemantic features and the contextual data.
 12. The non-transitorymachine-readable storage medium of claim 11, wherein the contextual dataincludes temporal data.
 13. The non-transitory machine-readable storagemedium of claim 11, wherein the contextual data includes user profiledata.
 14. The non-transitory machine-readable storage medium of claim 8,further comprising: receiving an input that comprises an inputattribute; and displaying the AR content based on the input attribute ofthe input.
 15. A system comprising: a memory; and at least one hardwareprocessor coupled to the memory and comprising instructions that causesthe system to perform operations comprising: causing display of imagedata at a client device, the image data including a display of anobject, the display of the object comprising one or more semanticfeatures; detecting the display of the object within the image data;accessing a texture map from among a plurality of texture maps based onthe one or more semantic features of the display of the object; andcausing display of Augmented-Reality (AR) content within the image databased on the texture map and the one or more semantic features.
 16. Thesystem of claim 15, wherein the accessing the texture map from among theplurality of texture maps further comprises: determining a location ofthe client device; and accessing the texture map based on the one ormore semantic features and the location of the client device.
 17. Thesystem of claim 15, wherein the detecting the display of the objectincludes: accessing location data at the client device; and detectingthe display of the object based on the location data and the one or moresemantic features.
 18. The system of claim 15, wherein the accessing thetexture map from among the plurality of texture maps further comprises:accessing contextual data at the client device; and accessing thetexture map based on the one or more semantic features and thecontextual data.
 19. The system of claim 18, wherein the contextual dataincludes temporal data.
 20. The system of claim 18, wherein thecontextual data includes user profile data.